OpenML
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 53 Supervised Classification vehicle 25333 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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25333 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.713, kappa: 0.6313, kb_relative_information_score: 537.1402, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7079, predictive_accuracy: 0.7234, prior_entropy: 1.9991, recall: 0.7234, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.6626, scimark_benchmark: 933.3455, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.1831, kappa: 0.0556, kb_relative_information_score: 125.3856, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5612, predictive_accuracy: 0.2979, prior_entropy: 1.9991, recall: 0.2979, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.3686, scimark_benchmark: 930.404, usercpu_time_millis: 490, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.1831, kappa: 0.0556, kb_relative_information_score: 125.3856, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5612, predictive_accuracy: 0.2979, prior_entropy: 1.9991, recall: 0.2979, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.3686, scimark_benchmark: 943.6618, usercpu_time_millis: 460, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.6544, kappa: 0.5631, kb_relative_information_score: 470.5939, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6672, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7395, scimark_benchmark: 936.2574, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.6949, kappa: 0.6013, kb_relative_information_score: 531.1537, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6907, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7469, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.7456, kappa: 0.669, kb_relative_information_score: 559.7666, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7421, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.6255, scimark_benchmark: 943.1009, usercpu_time_millis: 380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.7013, kappa: 0.6107, kb_relative_information_score: 517.7662, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6986, predictive_accuracy: 0.708, prior_entropy: 1.9991, recall: 0.708, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.7481, scimark_benchmark: 937.5117, usercpu_time_millis: 2600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.5843, kappa: 0.4733, kb_relative_information_score: 456.4463, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5955, predictive_accuracy: 0.604, prior_entropy: 1.9991, recall: 0.604, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8994, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.1831, kappa: 0.0556, kb_relative_information_score: 125.3856, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5612, predictive_accuracy: 0.2979, prior_entropy: 1.9991, recall: 0.2979, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.3686, scimark_benchmark: 937.5117, usercpu_time_millis: 450, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.7456, kappa: 0.669, kb_relative_information_score: 559.7666, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7421, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.6255, scimark_benchmark: 931.771, usercpu_time_millis: 370, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.7013, kappa: 0.6107, kb_relative_information_score: 517.7662, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6986, predictive_accuracy: 0.708, prior_entropy: 1.9991, recall: 0.708, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.7481, scimark_benchmark: 927.2917, usercpu_time_millis: 2660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.713, kappa: 0.6313, kb_relative_information_score: 537.1402, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7079, predictive_accuracy: 0.7234, prior_entropy: 1.9991, recall: 0.7234, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.6626, scimark_benchmark: 941.6675, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.5843, kappa: 0.4733, kb_relative_information_score: 456.4463, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5955, predictive_accuracy: 0.604, prior_entropy: 1.9991, recall: 0.604, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8994, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.6544, kappa: 0.5631, kb_relative_information_score: 470.5939, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6672, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7395, scimark_benchmark: 851.2074, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.6949, kappa: 0.6013, kb_relative_information_score: 531.1537, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6907, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7469, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.156, kappa: -0.0029, kb_relative_information_score: 0.2791, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.1303, predictive_accuracy: 0.2553, prior_entropy: 1.9991, recall: 0.2553, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4329, root_relative_squared_error: 1, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.5843, kappa: 0.4733, kb_relative_information_score: 456.4463, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5955, predictive_accuracy: 0.604, prior_entropy: 1.9991, recall: 0.604, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8994, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.4083, kappa: 0.2666, kb_relative_information_score: 286.5988, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4967, predictive_accuracy: 0.4456, prior_entropy: 1.9991, recall: 0.4456, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.072, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.3666, kappa: 0.2402, kb_relative_information_score: 269.8884, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4224, predictive_accuracy: 0.4255, prior_entropy: 1.9991, recall: 0.4255, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.1717, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.4083, kappa: 0.2666, kb_relative_information_score: 286.5988, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4967, predictive_accuracy: 0.4456, prior_entropy: 1.9991, recall: 0.4456, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.072, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.4274, kappa: 0.2821, kb_relative_information_score: 294.4124, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.521, predictive_accuracy: 0.4574, prior_entropy: 1.9991, recall: 0.4574, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.0622, scimark_benchmark: 473.1656, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7019, kappa: 0.6043, kb_relative_information_score: 558.3486, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7007, predictive_accuracy: 0.7033, prior_entropy: 1.9991, recall: 0.7033, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7783, scimark_benchmark: 473.1656, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7997, kappa: 0.7335, kb_relative_information_score: 632.7961, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7991, predictive_accuracy: 0.8002, prior_entropy: 1.9991, recall: 0.8002, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5888, scimark_benchmark: 1254.1389, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7101, kappa: 0.6184, kb_relative_information_score: 552.9307, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7073, predictive_accuracy: 0.7139, prior_entropy: 1.9991, recall: 0.7139, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.8713, scimark_benchmark: 473.1656, usercpu_time_millis: 240, usercpu_time_millis_testing: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.5855, kappa: 0.4749, kb_relative_information_score: 455.4785, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5962, predictive_accuracy: 0.6052, prior_entropy: 1.9991, recall: 0.6052, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.8987, scimark_benchmark: 1234.1906, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.7065, kappa: 0.6074, kb_relative_information_score: 511.2379, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7073, predictive_accuracy: 0.7057, prior_entropy: 1.9991, recall: 0.7057, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.307, root_relative_squared_error: 0.7091, scimark_benchmark: 1177.649, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7101, kappa: 0.6184, kb_relative_information_score: 552.9307, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7073, predictive_accuracy: 0.7139, prior_entropy: 1.9991, recall: 0.7139, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.8713, scimark_benchmark: 1230.8857, usercpu_time_millis: 120, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8384, kappa: 0.784, kb_relative_information_score: 677.6148, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8389, predictive_accuracy: 0.8381, prior_entropy: 1.9991, recall: 0.8381, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.5715, scimark_benchmark: 1255.1577, usercpu_time_millis: 4960, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 4870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.7926, kappa: 0.7288, kb_relative_information_score: 643.8487, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7926, predictive_accuracy: 0.7967, prior_entropy: 1.9991, recall: 0.7967, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.6397, scimark_benchmark: 478.9215, usercpu_time_millis: 7280, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.4361, kappa: 0.3315, kb_relative_information_score: 335.0614, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.504, predictive_accuracy: 0.5012, prior_entropy: 1.9991, recall: 0.5012, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.1536, usercpu_time_millis: 3.962, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 3.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.5979, kappa: 0.4629, kb_relative_information_score: 435.3691, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6067, predictive_accuracy: 0.5969, prior_entropy: 1.9991, recall: 0.5969, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4489, root_relative_squared_error: 1.037, usercpu_time_millis: 3.17, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 3.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.674, kappa: 0.5747, kb_relative_information_score: 520.9512, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.67, predictive_accuracy: 0.6809, prior_entropy: 1.9991, recall: 0.6809, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.9227, usercpu_time_millis: 1.18, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.2027, kappa: -0.0016, kb_relative_information_score: 82.3683, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.1937, predictive_accuracy: 0.2553, prior_entropy: 1.9991, recall: 0.2553, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6102, root_relative_squared_error: 1.4095, usercpu_time_millis: 0.525, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7367, kappa: 0.6596, kb_relative_information_score: 586.3242, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7314, predictive_accuracy: 0.7447, prior_entropy: 1.9991, recall: 0.7447, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.8253, usercpu_time_millis: 4.507, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 4.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.552, kappa: 0.4251, kb_relative_information_score: 406.2897, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5839, predictive_accuracy: 0.5697, prior_entropy: 1.9991, recall: 0.5697, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4638, root_relative_squared_error: 1.0714, usercpu_time_millis: 2.216, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 2.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7101, kappa: 0.6184, kb_relative_information_score: 554.4144, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7073, predictive_accuracy: 0.7139, prior_entropy: 1.9991, recall: 0.7139, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.8736, usercpu_time_millis: 2.702, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 1.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7291, kappa: 0.6533, kb_relative_information_score: 581.536, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.725, predictive_accuracy: 0.74, prior_entropy: 1.9991, recall: 0.74, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.8329, usercpu_time_millis: 14.056, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 13.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.7072, kappa: 0.6345, kb_relative_information_score: 567.0771, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.705, predictive_accuracy: 0.7258, prior_entropy: 1.9991, recall: 0.7258, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.8553, usercpu_time_millis: 64.56, usercpu_time_millis_testing: 5.568, usercpu_time_millis_training: 58.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7019, kappa: 0.6043, kb_relative_information_score: 543.7814, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7007, predictive_accuracy: 0.7033, prior_entropy: 1.9991, recall: 0.7033, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.8897, usercpu_time_millis: 2.537, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 1.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7062, kappa: 0.6185, kb_relative_information_score: 554.4518, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7027, predictive_accuracy: 0.7139, prior_entropy: 1.9991, recall: 0.7139, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.8736, usercpu_time_millis: 0.305, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 0.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.657, kappa: 0.5664, kb_relative_information_score: 514.9387, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6608, predictive_accuracy: 0.6749, prior_entropy: 1.9991, recall: 0.6749, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.9312, usercpu_time_millis: 3.56, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 2.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7641, kappa: 0.6927, kb_relative_information_score: 611.6432, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7618, predictive_accuracy: 0.7695, prior_entropy: 1.9991, recall: 0.7695, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.7842, usercpu_time_millis: 1.357, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7635, kappa: 0.6958, kb_relative_information_score: 613.8144, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.761, predictive_accuracy: 0.7719, prior_entropy: 1.9991, recall: 0.7719, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.7801, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.776, kappa: 0.7084, kb_relative_information_score: 623.6157, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7725, predictive_accuracy: 0.7813, prior_entropy: 1.9991, recall: 0.7813, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.7638, usercpu_time_millis: 0.286, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7406, kappa: 0.6691, kb_relative_information_score: 593.5106, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.737, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8138, usercpu_time_millis: 14.482, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 14.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.4243, kappa: 0.279, kb_relative_information_score: 292.6917, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5184, predictive_accuracy: 0.4551, prior_entropy: 1.9991, recall: 0.4551, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.522, root_relative_squared_error: 1.2057, usercpu_time_millis: 1.23, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 0.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8005, kappa: 0.7351, kb_relative_information_score: 643.9482, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7996, predictive_accuracy: 0.8014, prior_entropy: 1.9991, recall: 0.8014, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.7279, usercpu_time_millis: 1.851, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7771, kappa: 0.71, kb_relative_information_score: 624.6287, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7735, predictive_accuracy: 0.7825, prior_entropy: 1.9991, recall: 0.7825, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.7617, usercpu_time_millis: 3.108, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.2408, kappa: 0.001, kb_relative_information_score: 80.191, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2503, predictive_accuracy: 0.2506, prior_entropy: 1.9991, recall: 0.2506, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6121, root_relative_squared_error: 1.414, usercpu_time_millis: 30.819, usercpu_time_millis_testing: 2.385, usercpu_time_millis_training: 28.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.2586, kappa: 0.0691, kb_relative_information_score: 136.4536, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4372, predictive_accuracy: 0.3073, prior_entropy: 1.9991, recall: 0.3073, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.3594, usercpu_time_millis: 0.751, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.237, kappa: 0.0005, kb_relative_information_score: 80.0624, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.251, predictive_accuracy: 0.2506, prior_entropy: 1.9991, recall: 0.2506, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6121, root_relative_squared_error: 1.414, usercpu_time_millis: 0.396, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.5164, kappa: 0.364, kb_relative_information_score: 359.1734, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5167, predictive_accuracy: 0.5225, prior_entropy: 1.9991, recall: 0.5225, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.1287, usercpu_time_millis: 1.655, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 1.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8441, kappa: 0.7952, kb_relative_information_score: 689.8605, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8442, predictive_accuracy: 0.8463, prior_entropy: 1.9991, recall: 0.8463, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.6403, usercpu_time_millis: 0.308, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7197, kappa: 0.6263, kb_relative_information_score: 560.5173, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7203, predictive_accuracy: 0.7199, prior_entropy: 1.9991, recall: 0.7199, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.8645, usercpu_time_millis: 2.804, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 2.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7465, kappa: 0.6722, kb_relative_information_score: 595.9267, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7434, predictive_accuracy: 0.7541, prior_entropy: 1.9991, recall: 0.7541, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.8099, usercpu_time_millis: 11.002, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 10.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.6681, kappa: 0.5747, kb_relative_information_score: 521.1281, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6622, predictive_accuracy: 0.6809, prior_entropy: 1.9991, recall: 0.6809, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.9227, usercpu_time_millis: 0.254, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7381, kappa: 0.6612, kb_relative_information_score: 587.5665, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7335, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.8234, usercpu_time_millis: 8.11, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 7.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.2409, kappa: 0.0008, kb_relative_information_score: 82.3339, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2506, predictive_accuracy: 0.2541, prior_entropy: 1.9991, recall: 0.2541, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.4106, usercpu_time_millis: 0.456, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.7729, kappa: 0.7037, kb_relative_information_score: 619.9882, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7697, predictive_accuracy: 0.7778, prior_entropy: 1.9991, recall: 0.7778, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.77, usercpu_time_millis: 0.428, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7477, kappa: 0.6738, kb_relative_information_score: 597.1889, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7435, predictive_accuracy: 0.7553, prior_entropy: 1.9991, recall: 0.7553, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.8079, usercpu_time_millis: 58.949, usercpu_time_millis_testing: 9.044, usercpu_time_millis_training: 49.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7979, kappa: 0.7368, kb_relative_information_score: 645.3053, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7952, predictive_accuracy: 0.8026, prior_entropy: 1.9991, recall: 0.8026, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.7257, usercpu_time_millis: 43.477, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 43.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.763, kappa: 0.6927, kb_relative_information_score: 611.5349, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7621, predictive_accuracy: 0.7695, prior_entropy: 1.9991, recall: 0.7695, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.7842, usercpu_time_millis: 1.966, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0896, kb_relative_information_score: 70.3825, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.0553, predictive_accuracy: 0.2352, prior_entropy: 1.9991, recall: 0.2352, relative_absolute_error: 1.0201, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6184, root_relative_squared_error: 1.4284, usercpu_time_millis: 40.235, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 40.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.571, kappa: 0.426, kb_relative_information_score: 407.3476, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5724, predictive_accuracy: 0.5697, prior_entropy: 1.9991, recall: 0.5697, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4638, root_relative_squared_error: 1.0714, usercpu_time_millis: 2.533, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 2.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.69, kappa: 0.5981, kb_relative_information_score: 539.1679, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.684, predictive_accuracy: 0.6986, prior_entropy: 1.9991, recall: 0.6986, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.8967, usercpu_time_millis: 16.895, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 16.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7883, kappa: 0.7194, kb_relative_information_score: 631.8392, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7874, predictive_accuracy: 0.7896, prior_entropy: 1.9991, recall: 0.7896, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.7492, usercpu_time_millis: 373.331, usercpu_time_millis_testing: 7.239, usercpu_time_millis_training: 366.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.2947, kappa: 0.2209, kb_relative_information_score: 248.4097, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.3698, predictive_accuracy: 0.4113, prior_entropy: 1.9991, recall: 0.4113, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5425, root_relative_squared_error: 1.2532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.5585, kappa: 0.4779, kb_relative_information_score: 447.6139, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5725, predictive_accuracy: 0.6087, prior_entropy: 1.9991, recall: 0.6087, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4423, root_relative_squared_error: 1.0217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7062, kappa: 0.6188, kb_relative_information_score: 554.9902, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7021, predictive_accuracy: 0.7139, prior_entropy: 1.9991, recall: 0.7139, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7456, kappa: 0.669, kb_relative_information_score: 593.526, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7419, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7124, kappa: 0.6217, kb_relative_information_score: 557.0686, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7102, predictive_accuracy: 0.7163, prior_entropy: 1.9991, recall: 0.7163, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.6152, kappa: 0.5198, kb_relative_information_score: 479.1163, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6145, predictive_accuracy: 0.6395, prior_entropy: 1.9991, recall: 0.6395, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.9807,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.7052, kappa: 0.6139, kb_relative_information_score: 536.0708, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7018, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.7278, scimark_benchmark: 1085.5438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.7456, kappa: 0.669, kb_relative_information_score: 559.7666, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7421, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.6255, scimark_benchmark: 1195.2388, usercpu_time_millis: 400, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.6864, kappa: 0.59, kb_relative_information_score: 503.1035, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6824, predictive_accuracy: 0.6927, prior_entropy: 1.9991, recall: 0.6927, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.7528, scimark_benchmark: 1105.393, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.4083, kappa: 0.2666, kb_relative_information_score: 286.5988, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4967, predictive_accuracy: 0.4456, prior_entropy: 1.9991, recall: 0.4456, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.072, scimark_benchmark: 1155.8997, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.6984, kappa: 0.6026, kb_relative_information_score: 522.6483, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6958, predictive_accuracy: 0.7021, prior_entropy: 1.9991, recall: 0.7021, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.7132, scimark_benchmark: 1269.7366, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.6865, kappa: 0.595, kb_relative_information_score: 486.7502, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6808, predictive_accuracy: 0.6962, prior_entropy: 1.9991, recall: 0.6962, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.7136, scimark_benchmark: 1337.8476, usercpu_time_millis: 190, usercpu_time_millis_testing: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.6407, kappa: 0.5222, kb_relative_information_score: 479.2445, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6401, predictive_accuracy: 0.6418, prior_entropy: 1.9991, recall: 0.6418, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.9749, scimark_benchmark: 1271.7234, usercpu_time_millis: 120, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.449, kappa: 0.3052, kb_relative_information_score: 295.7715, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5443, predictive_accuracy: 0.4752, prior_entropy: 1.9991, recall: 0.4752, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0058, scimark_benchmark: 1359.9509, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.6963, kappa: 0.6076, kb_relative_information_score: 525.3357, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6901, predictive_accuracy: 0.7057, prior_entropy: 1.9991, recall: 0.7057, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.6863, scimark_benchmark: 571.8468, usercpu_time_millis: 570, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.4631, kappa: 0.3191, kb_relative_information_score: 302.1115, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5595, predictive_accuracy: 0.4858, prior_entropy: 1.9991, recall: 0.4858, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9985, scimark_benchmark: 984.662, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.6609, kappa: 0.5617, kb_relative_information_score: 503.3482, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6587, predictive_accuracy: 0.6714, prior_entropy: 1.9991, recall: 0.6714, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.7557, scimark_benchmark: 1215.7031, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.6122, kappa: 0.4858, kb_relative_information_score: 429.7261, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6107, predictive_accuracy: 0.6147, prior_entropy: 1.9991, recall: 0.6147, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8137, scimark_benchmark: 783.3976, usercpu_time_millis: 210, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.5951, kappa: 0.4737, kb_relative_information_score: 410.1323, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5906, predictive_accuracy: 0.6052, prior_entropy: 1.9991, recall: 0.6052, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.7966, scimark_benchmark: 1347.8338, usercpu_time_millis: 160, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.6799, kappa: 0.5757, kb_relative_information_score: 553.5945, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7035, predictive_accuracy: 0.682, prior_entropy: 1.9991, recall: 0.682, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.7739, scimark_benchmark: 1124.6259, usercpu_time_millis: 290, usercpu_time_millis_testing: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.5746, kappa: 0.43, kb_relative_information_score: 474.8296, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6113, predictive_accuracy: 0.5733, prior_entropy: 1.9991, recall: 0.5733, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.375, root_relative_squared_error: 0.8661, scimark_benchmark: 1092.0854, usercpu_time_millis: 140, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.5228, kappa: 0.3826, kb_relative_information_score: 317.0708, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5724, predictive_accuracy: 0.5366, prior_entropy: 1.9991, recall: 0.5366, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.8444, scimark_benchmark: 1082.7992, usercpu_time_millis: 800, usercpu_time_millis_training: 800,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs